Evidence map›Paper›PMID 35773317›Full record

ArticleScientific reports2022

Differentially methylated and expressed genes in familial type 1 diabetes.

Mohammed Dashti, Rasheeba Nizam, Prashantha Hebbar, Sindhu Jacob, Sumi Elsa John, Arshad Channanath, Hessa Al-Kandari, Thangavel Alphonse Thanaraj, Fahd Al-Mulla

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In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 14 citations in OpenAlex.

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  7. Frontiers in genetics · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Mohammed Dashti *Department of Genetics and Bioinformatics, Dasman Diabetes Institute, Kuwait City, Kuwait.
Rasheeba Nizam *Department of Genetics and Bioinformatics, Dasman Diabetes Institute, Kuwait City, Kuwait.
Prashantha HebbarDepartment of Genetics and Bioinformatics, Dasman Diabetes Institute, Kuwait City, Kuwait.
Sindhu JacobDepartment of Genetics and Bioinformatics, Dasman Diabetes Institute, Kuwait City, Kuwait.
Sumi Elsa JohnDepartment of Genetics and Bioinformatics, Dasman Diabetes Institute, Kuwait City, Kuwait.
Arshad ChannanathDepartment of Genetics and Bioinformatics, Dasman Diabetes Institute, Kuwait City, Kuwait.
Hessa Al-KandariDepartment of Population Health, Dasman Diabetes Institute, Kuwait City, Kuwait.
Thangavel Alphonse ThanarajDepartment of Genetics and Bioinformatics, Dasman Diabetes Institute, Kuwait City, Kuwait. alphonse.thangavel@dasmaninstitute.org.
Fahd Al-MullaDepartment of Genetics and Bioinformatics, Dasman Diabetes Institute, Kuwait City, Kuwait. fahd.almulla@dasmaninstitute.org.
Dasman Diabetes Institute · KWMinistry of Health · KW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There has recently been a growing interest in examining the role of epigenetic modifications, such as DNA methylation, in the etiology of type 1 diabetes (T1D). This study aimed to delineate differences in methylation patterns between T1D-affected and healthy individuals by examining the genome-wide methylation of individuals from three Arab families from Kuwait with T1D-affected mono-/dizygotic twins and non-twinned siblings. Bisulfite sequencing of DNA from the peripheral blood of the affected and healthy individuals from each of the three families was performed. Methylation profiles of the affected individuals were compared to those of the healthy individuals Principal component analysis on the observed methylation profiling based on base-pair resolution clustered the T1D-affected twins together family-wide. The sites/regions that were differentially methylated between the T1D and healthy samples harbored 84 genes, of which 18 were known to be differentially methylated in T1D individuals compared to healthy individuals in publicly available gene expression data resources. We further validated two of the 18 genes-namely ICA1 and DRAM1 that were hypermethylated in T1D samples compared to healthy samples-for upregulation in T1D samples from an extended study cohort of familial T1D. The study confirmed that the ICA1 and DRAM1 genes are differentially expressed in T1D samples compared to healthy samples.

Indexed as

Diabetes Mellitus, Type 1CpG IslandsDNA MethylationEpigenesis, GeneticHumansPromoter Regions, GeneticSequence Analysis, DNA

Identifiers

PMID35773317
PMCPMC9247163
OpenAlexW4283752533

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.